Presentation | 1997/12/11 Removal of Mixed Noise by Data-Dependent LWOS (Linear Combination of Weighted Order Statistics) Filters Tadasuke INOUE, Akira TAGUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A LWOS filter is one of nonlinear filters which utilize rank- and temporal-order information. The LWOS filter is combination of L-filters and weighted median (WM) filters. In this paper, we propose data-dependent LWOS (DD-LWOS) filters based on local statistics, in order to restore the image corrupted by mixed noise. Several design examples are showing the good performance of the proposed filter. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Mixed noise / Image restoration / Data-dependent filtering / Nonlinear filters |
Paper # | DSP97-121 |
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Committee | DSP |
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Conference Date | 1997/12/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Digital Signal Processing (DSP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Removal of Mixed Noise by Data-Dependent LWOS (Linear Combination of Weighted Order Statistics) Filters |
Sub Title (in English) | |
Keyword(1) | Mixed noise |
Keyword(2) | Image restoration |
Keyword(3) | Data-dependent filtering |
Keyword(4) | Nonlinear filters |
1st Author's Name | Tadasuke INOUE |
1st Author's Affiliation | Department of Electrical and Electronic Engineering Musashi Institute of Technology() |
2nd Author's Name | Akira TAGUCHI |
2nd Author's Affiliation | Department of Electrical and Electronic Engineering Musashi Institute of Technology |
Date | 1997/12/11 |
Paper # | DSP97-121 |
Volume (vol) | vol.97 |
Number (no) | 421 |
Page | pp.pp.- |
#Pages | 8 |
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